Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Reposted 4 Days AgoSaved
Hybrid
San Francisco, CA, USA
200K-240K Annually
Senior level
200K-240K Annually
Senior level
Artificial Intelligence • Security • Software
The role involves managing ML infrastructure, building scalable data pipelines, operating training frameworks, leading projects, and ensuring best DevOps practices for machine learning.
Top Skills: ArgocdDaskGcsGithub ActionsGrafanaKubernetesPrometheusPythonRayS3SparkTensorrtTerraform
Reposted 4 Days AgoSaved
Hybrid
San Francisco, CA, USA
220K-260K Annually
Senior level
220K-260K Annually
Senior level
Artificial Intelligence • Security • Software
The Staff Software Engineer will lead ML infrastructure, architect systems for model training and deployment, and mentor engineers on best practices.
Top Skills: AWSClearmlMlflowOnnxPyTorchTensorrtWeights & Biases
Reposted 4 Days AgoSaved
Hybrid
San Francisco, CA, USA
200K-240K Annually
Senior level
200K-240K Annually
Senior level
Artificial Intelligence • Security • Software
The role involves building data infrastructure for ML models, managing petabytes of camera data, and collaborating with cross-functional teams to enhance model quality.
Top Skills: Cloud StorageComputer VisionData InfrastructureData LabelingData MiningMachine LearningPython
Reposted 4 Days AgoSaved
Hybrid
San Francisco, CA, USA
210K-270K Annually
Senior level
210K-270K Annually
Senior level
Artificial Intelligence • Security • Software
The Tech Lead Manager will oversee the applied ML work for Voxel's perception systems, guiding technical direction, managing a team, and ensuring successful model deployment in various customer environments.
Top Skills: Computer VisionMachine LearningPythonSegmentationTemporal ModelsTrackingVlms
Reposted 24 Days AgoSaved
Hybrid
San Francisco, CA, USA
130K-180K Annually
Junior
130K-180K Annually
Junior
Artificial Intelligence • Security • Software
Design, implement, and productionize computer vision algorithms (detection, tracking, pose, activity, anomaly) for low-latency edge deployment. Build scalable ML data ingestion, retraining and redeployment pipelines, and partner cross-functionally to tailor ML solutions for customer deployments.
Top Skills: Aws EcsAws EksAws S3BazelC++DockerGitGoKubernetesPython
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